Jobot

REMOTE Head, Data Science - FinTech/eCommerce

Jobot Seattle, WA

Jobot provided pay range

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $210,000.00/yr

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Job details

REMOTE Position - Head, Data Science / eCommerce or FinTech experience!

This Jobot Job is hosted by Jon Lopez

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $180,000 - $210,000 per year

A Bit About Us

An established and rapidly growing FinTech company is looking to expand its team and add a Head of Data Science to its growing team. This is a remote position and the ideal candidate will have robust experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn), LLMs (e.g., GPT, Claude, Olympus), and data visualization tools (e.g., Tableau, Power BI, Matplotlib) in an eCommerce or Fintech environment/industry.

You should also be well-versed in building data pipelines and ETL processes in a cloud environment.

Please send resumes to jon@jobot.com



Why join us?


Benefits & Perks

  • Medical
  • Dental
  • Vision
  • Fitness/Wellness reimbursement
  • Internet reimbursement
  • Home Office stipend
  • Unlimited PTO
  • Mental health days off
  • Annual company offsite

Job Details

Job Details

We are looking for an innovative and experienced Head of Data Science to join our FinTech/eCommerce team in the Technology industry. This is a permanent, full-time, remote position that offers an exciting opportunity to lead and shape the future of data science within our organization. You will be working with a team of talented data scientists and engineers to develop cutting-edge solutions that drive our business forward.

Responsibilities

As the Head of Data Science, you will

  • Lead and manage our data science team, providing mentorship and guidance to ensure high-quality output and continuous professional development.
  • Develop and implement advanced analytics models and solutions using Python, R, Tensorflow, Pytorch, and Scikit-Learn.
  • Design, build and optimize ETL pipelines and develop ETL processes to ensure the availability of clean, reliable data for analysis.
  • Leverage your expertise in Large Language Models (LLM) to extract valuable insights from unstructured data and optimize our models.
  • Collaborate with cross-functional teams to understand their business needs and develop data-driven solutions.
  • Drive the data strategy and roadmap, ensuring alignment with the company's strategic objectives.
  • Stay up-to-date with the latest industry trends and technologies to ensure our data science capabilities remain cutting-edge.

Qualifications

The ideal candidate will have

  • A minimum of 5 years of experience in a data science leadership role.
  • Expertise in Python, R, Tensorflow, Pytorch, and Scikit-Learn.
  • Extensive experience in ETL pipeline design and development.
  • A deep understanding of Large Language Models (LLM) and experience optimizing models.
  • Proven experience in managing and mentoring a team of data scientists.
  • Strong problem-solving skills and the ability to translate complex data into actionable insights.
  • Excellent communication skills and the ability to articulate complex, technical concepts to non-technical stakeholders.
  • A Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field is preferred.

Join us and be part of a team that is at the forefront of data science innovation in the FinTech/eCommerce space. We value diversity and inclusion and are committed to creating a supportive and collaborative work environment for all our employees.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

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Click our Jobot logo and follow our LinkedIn page!

  • Seniority level

    Director
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Construction, Civil Engineering, and Industrial Machinery Manufacturing

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